Clusteval logo ClustEval clustering evaluation framework

Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Program Best quality Parameter set Clustering
Spectral Clustering 0.073 k=3 Clustering
clusterdp 0.81 k=141
dc=21.834136
Clustering
AGNES 0.752 method=ward
metric=euclidean
k=294
Clustering
c-Means 0.48 k=193
m=2.25
Clustering
k-Medoids (PAM) 0.824 k=112 Clustering
DIANA 0.408 metric=euclidean
k=470
Clustering
DBSCAN 0.126 eps=42.212662933333334
MinPts=594
Clustering
Hierarchical Clustering 0.828 method=complete
k=228
Clustering
fanny 0.617 k=219
membexp=2.0
Clustering
clusterONE 0.104 s=1
d=0.7
Clustering
Affinity Propagation 0.783 dampfact=0.7725
preference=0.0
maxits=2750
convits=200
Clustering
Markov Clustering 0.466 I=4.8684684684684685 Clustering
Transitivity Clustering 0.824 T=8.174141005005005 Clustering
MCODE 0.375 v=0.8
cutoff=7.278045333333334
haircut=T
fluff=F
Clustering